Effectiveness and reliability of AI in diagnosis and robot-assisted spinal and cranial surgery: efficient outcomes and ethical worries
Use of AI and machine learning improves the diagnostic outcomes and decreases post op complications in the field of spinal and cranial surgery. But certain challenges such as ethical concerns and technical hurdles should be sorted out with effective planning. Further research is necessary to refine AI-driven interventions, enhance cost-effectiveness, and to make sure ethical and equitable implementation of AI and robotic surgery in neurosurgical care.
Authors
- Marah Aqeel
- Inshrah Qureshi
- Umaima Cheema
- Fabrice Kibukila (ORCID: https://orcid.org/0000-0002-5969-4903)
- Dieudonné Kakusu (ORCID: https://orcid.org/0009-0009-4324-9643)
- Saleha Azeem (ORCID: https://orcid.org/0000-0003-1987-6048)
- Calvin R. Wei (ORCID: https://orcid.org/0000-0003-1036-3342)
- Aymar Akilimali (ORCID: https://orcid.org/0000-0001-9393-1215)
- Ahmad Hussain
- Ayesha Sehar
- Ahmed Raza (ORCID: https://orcid.org/0009-0003-3932-6788)
- Iqra Shahid (ORCID: https://orcid.org/0009-0009-7188-1312)
- Siraj Ul Muneer (ORCID: https://orcid.org/0000-0001-5281-0716)
- Samuel Mbabazi
Institutions
- Services Institute of Medical Sciences (PK)
- King Edward Medical University (PK)
- Université Paris Cité (FR)
- Sorbonne Paris Cité (FR)
- Université Officielle de Bukavu (CD)
- Université Evangélique en Afrique (CD)
- University of Goma (CD)
- Shaikh Zayed Postgraduate Medical Institute (PK)
Publication Details
- Journal
- Annals of Medicine and Surgery
- Published
- 2025-09-13
- DOI
- https://doi.org/10.1097/ms9.0000000000003865
- Citations
- 2
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.35